Student'st-Test under Symmetry Conditions
作者:
Bradley Efron,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1969)
卷期:
Volume 64,
issue 328
页码: 1278-1302
ISSN:0162-1459
年代: 1969
DOI:10.1080/01621459.1969.10501056
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The size and power of Student'st-test are discussed under weaker than normal conditions. It is shown that assuming only a symmetry condition for the null hypothesis leads to effective bounds on the dispersion of thet-statistic. (The symmetry condition is weak enough to include all cases of independent but not necessarily identically distributed observations, each symmetric about the origin.) The connection between Student's test and the usual non-parametric tests is examined, as well as power considerations involving Winsorization and permutation tests. Simultaneous use of different one-sample tests is also discussed.
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